analyzing earth

New study from Houston research team looks at how the Earth cycles fossil carbon

A Rice University professor studied the Earth's carbon cycle in the Rio Madre de Dios to shed light on current climate conditions. Photo courtesy of Mark Torres/Rice University

Carbon cycles through Earth, its inhabitants, and its atmosphere on a regular basis, but not much research has been done on that process and qualifying it — until now.

In a recent study of a river system extending from the Peruvian Andes to the Amazon floodplains, Rice University’s Mark Torres and collaborators from five institutions proved that that high rates of carbon breakdown persist from mountaintop to floodplain.

“The purpose of this research was to quantify the rate at which Earth naturally releases carbon dioxide into the atmosphere and find out whether this process varies across different geographic locations,” Torres says in a news release.

Torres published his findings in a study published in PNAS, explaining how they used rhenium — a silvery-gray, heavy transition metal — as a proxy for carbon. The research into the Earth’s natural, pre-anthropogenic carbon cycle stands to benefit humanity by providing valuable insight to current climate challenges.

“This research used a newly-developed technique pioneered by Robert Hilton and Mathieu Dellinger that relies on a trace element — rhenium — that’s incorporated in fossil organic matter,” Torres says. “As plankton die and sink to the bottom of the ocean, that dead carbon becomes chemically reactive in a way that adds rhenium to it.”

The research was done in the Rio Madre de Dios basin and supported by funding from a European Research Council Starting Grant, the European Union COFUND/Durham Junior Research Fellowship, and the National Science Foundation.

“I’m very excited about this tool,” Torres said. “Rice students have deployed this same method in our lab here, so now we can make this kind of measurement and apply it at other sites. In fact, as part of current research funded by the National Science Foundation, we are applying this technique in Southern California to learn how tectonics and climate influence the breakdown of fossil carbon.”

Torres also received a three-year grant from the Department of Energy to study soil for carbon storage earlier this year.

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A View From HETI

Merab Momen, founder of AI CTO Services. Courtesy Photo

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


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